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Short Trade on ICP

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Short Trade on ICP 16 Sep 2025 at 01:57:31

Take profit at 4.6469 (0.52 %) and Stop Loss at 4.6831 (0.26 %)

Short Trade on ICP

The 16 Sep 2025 at 01:57:31

With 662.6249 ICP at 4.671$ per unit.

Position size of 3095.1208 $

Take profit at 4.6469 (0.52 %) and Stop Loss at 4.6831 (0.26 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 1.14
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.8
Prediction 3 Probability
0 0.88
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.68759

15m : 0.066296

1H : 0.015295

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.008048797411
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 4.66099
  4. ema21 : 4.69152
  5. ema50 : 4.77557
  6. ema100 : 4.84873
  7. price_ema9_diff : 0.00214665
  8. ema9_ema21_diff : -0.00650681
  9. ema21_ema50_diff : -0.0176012
  10. price_ema100_diff : -0.0366563
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0584846
  14. ema_slope_21 : -0.114671
  15. ema_slope_50 : -0.12015
  16. ema_slope_100 : -0.0858461
  17. rsi : 0.412608
  18. adx : 0.444762
  19. kc_percentage : 0.382279
  20. kc_width_percentage : 0.0315641
  21. volume_ema_diff : -0.536448
  22. volume_ema1 : 173624.84021636
  23. volume_ema2 : 374553.28743394
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 4.65125
  27. ema21 : 4.65381
  28. ema50 : 4.6671
  29. ema100 : 4.70487
  30. price_ema9_diff : 0.00424472
  31. ema9_ema21_diff : -0.000549678
  32. ema21_ema50_diff : -0.00284813
  33. price_ema100_diff : -0.00720014
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0134536
  37. ema_slope_21 : -0.0176497
  38. ema_slope_50 : -0.0200809
  39. ema_slope_100 : -0.0268912
  40. rsi : 0.513815
  41. adx : 0.221102
  42. kc_percentage : 0.777089
  43. kc_width_percentage : 0.0135194
  44. volume_ema_diff : -0.458216
  45. volume_ema1 : 30929.480952682
  46. volume_ema2 : 57088.27077722
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 4.65759
  50. ema21 : 4.65144
  51. ema50 : 4.65246
  52. ema100 : 4.65806
  53. price_ema9_diff : 0.00287713
  54. ema9_ema21_diff : 0.0013241
  55. ema21_ema50_diff : -0.00022092
  56. price_ema100_diff : 0.00277708
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0385388
  60. ema_slope_21 : 0.0162675
  61. ema_slope_50 : 0.00185074
  62. ema_slope_100 : -0.00216239
  63. rsi : 0.652372
  64. adx : 0.187485
  65. kc_percentage : 1.10391
  66. kc_width_percentage : 0.00686466
  67. volume_ema_diff : -0.494871
  68. volume_ema1 : 8772.8426581543
  69. volume_ema2 : 17367.560767408
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115337
  74. 5m_price_ema100_diff: 
    0.00473663
  75. 5m_price: 
    115884
  76. 5m_correlation_with_coin: 
    0.68759
  77. btc_indicators
  78. 15m_ema100: 
    115318
  79. 15m_price_ema100_diff: 
    0.00397332
  80. 15m_price: 
    115777
  81. 15m_correlation_with_coin: 
    0.066296
  82. btc_indicators
  83. 1H_ema100: 
    115412
  84. 1H_price_ema100_diff: 
    0.0040812
  85. 1H_price: 
    115884
  86. 1H_correlation_with_coin: 
    0.015295
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:57:31		 16 Sep 2025
02:15:00		 17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.671 4.6831 4.6469 1.99 2.449
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 4.671
  • Stop Loss: 4.6831
  • Take Profit: 4.6469

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.6831 - 4.671 = 0.012099999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.671 - 4.6469 = 0.024100000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.024100000000001 / 0.012099999999999 = 1.9917

📌 Position Size

Amount Margin Quantity Leverage
3095.1208 100 662.6249 30.95
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.012099999999999

Taille de position = 8 / 0.012099999999999 = 661.16

Taille de position USD = 661.16 x 4.671 = 3088.28

Donc, tu peux acheter 661.16 avec un stoploss a 4.6831

Avec un position size USD de 3088.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 661.16 x 0.012099999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 661.16 x 0.024100000000001 = 15.93

Si Take Profit atteint, tu gagneras 15.93$

Résumé

  • Taille de position 661.16
  • Taille de position USD 3088.28
  • Perte potentielle 8
  • Gain potentiel 15.93
  • Risk-Reward Ratio 1.9917

📌 Peformances

TP % Target TP $ Target
0.52 % 15.97 $
SL % Target SL $ Target
0.26 % 8.02 $
PNL PNL %
-8.02 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2783 % 107.45 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.6469
            [entry_price] => 4.671
            [stop_loss] => 4.68431
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 02:30:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 4.6469
            [entry_price] => 4.671
            [stop_loss] => 4.68552
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 02:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 4.6469
            [entry_price] => 4.671
            [stop_loss] => 4.68673
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 02:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 4.6469
            [entry_price] => 4.671
            [stop_loss] => 4.68915
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 02:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031000000000001
            [max_drawdown] => 0.031
            [rr_ratio] => 1
            [high] => 4.70200000
            [low] => 4.64000000
            [mfe_pct] => 0.66
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:57:31-04:00
            [end_at] => 2025-09-16T03:57:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.031000000000001
            [max_drawdown] => 0.053999999999999
            [rr_ratio] => 0.57
            [high] => 4.72500000
            [low] => 4.64000000
            [mfe_pct] => 0.66
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:57:31-04:00
            [end_at] => 2025-09-16T08:57:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.67200000
            [high_after] => 4.72500000
            [low_before] => 4.61000000
            [low_after] => 4.64000000
            [is_new_high] => 
            [is_new_low] => 
        )

)